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KDD
2005
ACM
139views Data Mining» more  KDD 2005»
16 years 20 days ago
Learning to predict train wheel failures
This paper describes a successful but challenging application of data mining in the railway industry. The objective is to optimize maintenance and operation of trains through prog...
Chunsheng Yang, Sylvain Létourneau
KDD
2005
ACM
147views Data Mining» more  KDD 2005»
16 years 20 days ago
Combining proactive and reactive predictions for data streams
Mining data streams is important in both science and commerce. Two major challenges are (1) the data may grow without limit so that it is difficult to retain a long history; and (...
Ying Yang, Xindong Wu, Xingquan Zhu
KES
2005
Springer
16 years 20 days ago
Position Estimation for Goods Tracking System Using Mobile Detectors
Abstract. Determining physical location of indoor objects is one of the key issues in ubiquitous computing. Although there are many proposals to provide physical location tracking,...
Hiroshi Mineno, Kazuo Hida, Miho Mizutani, Naoto M...
KES
2005
Springer
16 years 20 days ago
Ontology Modeling and Storage System for Robot Context Understanding
Abstract. A mobile robot that interacts with its environment needs a machineunderstandable representation of objects and their usages. We present an ontology of objects, with gener...
Eric Wang, Yong Se Kim, Hak Soo Kim, Jin Hyun Son,...
KIVS
2005
Springer
16 years 20 days ago
Measuring Large Overlay Networks - The Overnet Example
Peer-to-peer overlay networks have grown significantly in size and sophistication over the last years. Meanwhile, distributed hash tables (DHT) provide efficient means to create g...
Kendy Kutzner, Thomas Fuhrmann
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